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Presentation at the CGIAR Research Program on Maize review meeting 6 October 2014

Presentation at the CGIAR Research Program on Maize review meeting 6 October 2014 Addis Ababa, Ethiopia Menale Kassie, Paswel Marenya, Moti Jaleta and AP partners. Overall objective of Adoption Pathways(AP) Project

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Presentation at the CGIAR Research Program on Maize review meeting 6 October 2014

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  1. Presentation at the CGIAR Research Program on Maize review meeting 6 October 2014 Addis Ababa, Ethiopia Menale Kassie, Paswel Marenya, Moti Jaleta and AP partners

  2. Overall objective of Adoption Pathways(AP) Project Support researchers, decision makers, farmers and development partners in making high quality decisions and research that improve food security… …by providing appropriate data sets, knowledge base, tools and methods... …that can be used for better targeting of technologies, accelerating adoption and to understand the dynamics of socio-economic development because of technology and policy interventions… …within maize farming systems in Eastern and Southern Africa

  3. Objective 3 Study the impacts of adoption on different groups of rural households Four Objectives of the AP Project 1 3 2 Study the impacts of adoption on different groups of rural households Build gender disaggregated data to deepen understanding of technology adoption process Understand farmers’ livelihood in relation to SAI investments and their impacts onadaptation to climate variability and change 4 Enhance the capacity for gender-sensitive agricultural technology policy research and communication of policy recommendations to facilitate adoption of maize system innovations

  4. (Five) unique features of the AP Project • Reliance on gender disaggregated panel datasets • Focus on explaining “gender gaps” • Technology gap • Productivity gap • Food security gap • Income gap • Development of a women empowerment indicator • Analysis of downside risk and technology adoption • Analysisof synergies of joint adoption of technologies

  5. Major Achievements of AP • Major datasets collection completed: • Gender disaggregated , 4,842 individuals (2, 469 men and 2, 600 women) collected in 2013 and entered • Gender based risk & time preferences experiments carried out in Ethiopia, Kenya, Malawi and Tanzania • Adoption and impacts analysis of SAI published in peer-reviewed outlets • Analysis of Gender, food security and technology adoption published in peer reviewed outlets • Conducted graduate and non-graduate training • As part of human and institutional capacity enhancement • Outreach and dissemination efforts made Household level interview in Malawi Risk & time preferences experiment

  6. Linkage-CGIAR Research Program on Maize and AP Project Adoption Pathways (obj. 1 and 3) Adoption Pathways (obj. 1-4) Adoption Pathways (obj 1-3) Adoption Pathways (obj. 4)

  7. Gender, Adoption, and Productivity(Survey statistics related to some of the SIs)

  8. How Much Labor do Women Contribute to Agriculture (SI 1)? Female labor share by agricultural activity for all crops (%) Female labor contribution to maize production – 44% (19-55%) Women’s total labor commitment is disproportionately high • given that they contribute some 50% of agricultural labor • plus nearly all the labor required for family care and related household chores. What intervention(s) can ease the work load of female so that their and their family welfare can be improved?

  9. Economic importance of Maize-(SI 1) Per capita maize consumption Kenya 125 Ethiopia 138 Malawi 149 Tanzania 168

  10. Technology adoption by gender-(SI 1 + SI 2) What causes these gaps?

  11. Sustainable Intensification Practices adoption-(SI 1 + SI2 ) Key findings: Low adoption of conservation agriculture. What constrained up take of this? Low SIPs adoption in Ethiopia compared to other countries. What drive this?

  12. Sustainable Intensification practices as adaptation strategy to land constraints -(SI 1 + SI2 ) Crop diversification Minimum tillage Maize varieties Fertilizer Animal manure Key findings: Framers seems to intensify in response to land pressure Whom shall we target?

  13. Sustainable Intensification practices as adaptation strategy to population pressure-(SI 1 + SI2 ) Key findings: Framers intensify in response to population pressure except in Kenya

  14. High adoption, low yield. Low adoption, high yield. Why? Question: What explains these apparent trends?

  15. Human and institutional capacity development (SI 1, SI 2, SI 5)

  16. Capacity Development Gender- integration & analytical analysis and disaggregated data collection training Methodology training: adoption and impacts, Risk & household modeling & risk & time preference experiments design

  17. Capacity Development-PhD and MSc students • 9 PhD and 4 MSc students from different African and European countries have used (or are currently using) the data generated by the project for studying various topics: • Gender and technology adoption, • Sustainable intensification practices adoption impacts on food security, income and agro-chemical use • Male and Female Risk preference and maize technology adoption • Climate adaptation strategies adoption and impacts on food security etc.,

  18. Scientific Publications (SI 1 + SI 2)

  19. Policy Briefs

  20. Some Empirical Evidence related to SIs

  21. Sustainable Intensification Practices: Food Security Opportunity for the Poor (SI 1, SI 2) Key findings (binary food security) • Food security significantly increases with area under improved maize variety • Approach helps determine level of maize area required to achieve food security Source: Food Security (2014) 6:217.-230

  22. Gender Food Security Gap and Causes- (SI 1+ SI 2) Key findings • Access to equal input, human capital, technology, land quality, and resources will not close the gender food security gap • Reducing hidden factors can decrease number of food insecure female headed households by 5 % Source: World Development (2014) 57: 153-171

  23. Sustainable Intensification Practices: Income and Food Security Opportunities for the Poor (SI 1+ SI 2 + SI 5) Key findings • Combination generate more maize income than single adoption • Maize net income increases by 47-67% when improved maze varieties combined with other SIPs • Maize yield increases by 43-126% when fertilizer combined with MT or CD or both (figure not reported) Source: Ecological Economics (2013) 93: 85-93

  24. Sustainable Intensification Practices: Income and Food Security Opportunities for the Poor (SI 1+ SI 2 + SI 5) Key findings • Combination generate more maize income than single adoption • Maize net income increases by 117-171% when improved maze varieties combined with other SIPs • Maize yield increases by 80-137% when fertilizer combined either with CD or MT or both (figure not reported) Source: CIMMYT mimeo (2013)

  25. Sustainable Intensification Practices: Cost saving Opportunity for the Poor (SI 1 +SI 2) Key findings SIPs either keep constant or reduced use of chemical inputs In Malawi Subsidy seems to have a perverse effect on efficient use of inputs Source: Ecological Economics (2013) 93: 85-93

  26. Sustainable Intensification Practices: Insurance Opportunities for the Poor (SI 1 + SI 2) • SIPs reduce cost of risk but higher reduction achieved when SIPs adopted jointly (Malawi) • SIPs avoid the traditional high-risk, high-return (low-risk, low return) tradeoff Source: Journal of agricultural Economics (forthcoming)

  27. What Drives Adoption of SIPs? • Group Membership • Those farmers belonging to groups had a higher chance to adopt: • In Ethiopia:Cropping system diversification(CD) and minimum tillage(MT) • In Kenya:Improved • Varieties(IV) and fertilizer • In Malawi:Soil and Water Conservation(SWC) • Proximity to markets • When close to markets farmers had a higher chance to adopt: • In Ethiopia:CD and manure use • In Malawi:Improved varieties • In Tanzania:CD and MT • Household assets & extension skill • With more assets farmers had a higher chance to adopt : • In Ethiopia: Soil and Water Conservation • In Kenya and Tanzania: Manure • With quality of extension services farmers had a higher chance to adopt: • In Ethiopia: CD, MT, • In Kenya: CD and SWC • In Malawi: MT • In Tanzania: IV Source: Land use Policy (2015) 42:400-411

  28. From Results to Lessons: Implications • For many rural households, food security depends on productivity enhancement through improved maize varieties and SIPs • For the foreseeable future: the pathway to food security will pass through smallholder productivity and technology improvement on own-farms • Need to expand the analytical frontiers of gender research in agriculture • We find that latent and difficult-to-observe factors lie behind the gender food security gaps • Evidence exists for synergies in agricultural practices for SIPs • Promising win-win outcomes • But also suggesting greater role of information, extension and adaptive research

  29. From Results to Lessons: Implications • Practices that conserve natural resources (moisture, soil, nutrients) also reduce costs of production • Suggesting clear opportunities for sustainable intensification using “simple” techniques: • Such as legume intercrops, reduced frequency of tillage • Risk is a major objective (perhaps co-equal to productivity) • SIPs practices reduce downside risk • Providing extra incentives for adoption • The need for farmer education on these risk reduction benefits • Three classes of variables remain critical for SIPs adoption • Social capital and networks (evidenced by group membership) • Public goods in the form of infrastructure and extension • Private asset endowments (land, equipment, livestock)

  30. Next steps • Validate research products • Undertake various research issues • Gender technology and productivity gaps and causes of these gaps • Household bio-economic modelling • SIPs and Risk analysis, • Livelihood diversification • Developing Women empowerment index, etc • Taking research products to policy makers, farmers, researchers, development partners, etc.,

  31. Thanks • Farmers • SIMLESA • AIFRC • ACIAR • Extension officer • Partners

  32. Thank you m.kassie@cgiar.org

  33. Adoption of Mechanization Mechanization by agricultural activity (%hhld)

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